3 citations · 4 across the 4 of their papers we have counts for
5 papers
Quantum Tilted Loss in Variational Optimization: Theory and Applications
Yixian Qiu, Josep Lumbreras, Xiufan Li +1
Variational quantum algorithms (VQAs) are leading strategies for using near-term quantum devices, with a well-studied bottleneck being their trainability. Standard expectation-valu…
Quantum Learning with Tunable Loss Functions
Yixian Qiu, Lirandë Pira, Patrick Rebentrost
Learning from quantum data presents new challenges to the paradigm of learning from data. This typically entails the use of quantum learning models to learn quantum processes that…
Quantum Algorithm for Sparse Online Learning with Truncated Gradient Descent
Debbie Lim, Yixian Qiu, Patrick Rebentrost +1
Logistic regression, the Support Vector Machine (SVM), and least squares are well-studied methods in the statistical and computer science community, with various practical applicat…
The Quantum Esscher Transform
Yixian Qiu, Kelvin Koor, Patrick Rebentrost
The Esscher Transform is a tool of broad utility in various domains of applied probability. It provides the solution to a constrained minimum relative entropy optimization problem.…
A short tutorial on Wirtinger Calculus with applications in quantum information
Kelvin Koor, Yixian Qiu, Leong Chuan Kwek +1
The optimization of system parameters is a ubiquitous problem in science and engineering. The traditional approach involves setting to zero the partial derivatives of the objective…